53 citations · 129 across the 4 of their papers we have counts for
4 papers
SketchCleanNet -- A deep learning approach to the enhancement and correction of query sketches for a 3D CAD model retrieval system
Bharadwaj Manda, Prasad Kendre, Subhrajit Dey +1
Search and retrieval remains a major research topic in several domains, including computer graphics, computer vision, engineering design, etc. A search engine requires primarily an…
'CADSketchNet' -- An Annotated Sketch dataset for 3D CAD Model Retrieval with Deep Neural Networks
Bharadwaj Manda, Shubham Dhayarkar, Sai Mitheran +2
Ongoing advancements in the fields of 3D modelling and digital archiving have led to an outburst in the amount of data stored digitally. Consequently, several retrieval systems hav…
A Convolutional Neural Network Approach to the Classification of Engineering Models
Bharadwaj Manda, Pranjal Bhaskare, Ramanathan Muthuganapathy
This paper presents a deep learning approach for the classification of Engineering (CAD) models using Convolutional Neural Networks (CNNs). Owing to the availability of large annot…
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55
Li Yi, Lin Shao, Manolis Savva +47
We introduce a large-scale 3D shape understanding benchmark using data and annotation from ShapeNet 3D object database. The benchmark consists of two tasks: part-level segmentation…